Identification of markers predicting clinical course in patients with Behcet disease by combination of machine learning and unbiased clustering analysis
Unsupervised clustering of blood test data identified distinct BD clinical phenotypes. Monocyte percentage may predict TNF inhibitor initiation, while neutrophil/lymphocyte ratio may predict ocular inflammation frequency, highlighting pathophysiologic heterogeneity in BD.
Authors
- Hiroshi Gotô (ORCID: https://orcid.org/0000-0002-6462-9524)
- Kinya Tsubota (ORCID: https://orcid.org/0000-0002-7680-3745)
- Yoshihiko Usui (ORCID: https://orcid.org/0000-0002-1258-3587)
- Hiroyuki Shimizu (ORCID: https://orcid.org/0000-0002-5926-2713)
Institutions
- Tokyo Medical University (JP)
Publication Details
- Journal
- Graefe s Archive for Clinical and Experimental Ophthalmology
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1007/s00417-025-06850-5
- Primary Topic
- Ocular Diseases and Behçet’s Syndrome
- Type
- article
- Field-Weighted Citation Impact
- 0.00